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Land Use Simulation of Guangzhou Based on Nighttime Light Data and Planning Policies

Description: This article employs nighttime light (NTL) information as a proxy indicator of gross domestic product(GDP), and a future land use simulation model (FLUS) to simulate the land use patterns in Guangzhou from 2015 to 2018 and 2018 to 2035 by incorporating planning policies. This study demonstrates that NTL is a suitable and feasible proxy indicator of GDP for the land use simulations, providing a scientific basis for the development of urban planning and construction policy.
Date: May 23, 2020
Creator: Lao, Jieying; Wang, Cheng; Wang, Jinliang; Pan, Feifei; Xi, Xiaohuan & Liang, Lei
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Partner: UNT College of Liberal Arts & Social Sciences
open access

Integrating low-cost sensor monitoring, satellite mapping, and geospatial artificial intelligence for intra-urban air pollution predictions☆

Description: Article describes how there is a growing need to apply geospatial artificial intelligence analysis to disparate environmental datasets to find solutions that benefit frontline communities. This research addresses these challenges by leveraging a strategically deployed, extensive low-cost sensor (LCS) network that was rigorously calibrated through an optimized neural network.
Date: May 18, 2023
Creator: Liang, Lu; Daniels, Jacob; Bailey, Colleen; Hu, Leiqiu; Phillips, Ronney & South, John
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Partner: UNT College of Science
open access

Soil Erosion Vulnerability Mapping in Selected Rural Communities of uThukela Catchment, South Africa, Using the Analytic Hierarchy Process

Description: Article presents a study (i) assessing and modeling soil erosion vulnerability based on the Analytic Hierarchy Process (AHP) approach in Hoffenthal and KwaMaye communities within the uThukela Catchment, South Africa; and (ii) identifying the relevant sustainable interventions and remedial strategies to combat soil erosion in the study area.
Date: May 13, 2022
Creator: Ebhuoma, Osadolor; Gebreslasie, Michael; Ngetar, Njoya Silas; Phinzi, Kwanele & Bhattacharjee, Shwarnali
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Partner: UNT College of Liberal Arts & Social Sciences
open access

A Comparative Study of Water Indices and Image Classification Algorithms for Mapping Inland Surface Water Bodies Using Landsat Imagery

Description: This article presents a comparative study of water indices and image classification algorithms for mapping inland water bodies using Landsat imagery through obtaining 24 high-resolution (≤5 m) and cloud-free images archived in Google Earth with the same (or ±1 day) acquisition dates as the Landsat-8 OLI images over 24 selected lakes across the globe, and developing a method to generate the alternate ground truth data from the Google Earth images for properly evaluating the Landsat image classif… more
Date: May 18, 2020
Creator: Pan, Feifei; Xi, Xiaohuan & Wang, Cheng
Item Type: Refine your search to only Article
Partner: UNT College of Liberal Arts & Social Sciences
open access

Ambient urban N deposition drives increased biomass and total plant N in two native prairie grass species in the U.S. Southern Great Plains

Description: This article studies atmospheric nitrogen (N) deposition in urban areas on two native prairie grass species, Schizachyrium scoparium and Nasella leucotricha. Findings indicate that while native prairie grasses may exhibit a positive biomass response to increased N deposition up to ~18 kg ha⁻¹ yr⁻¹, total inorganic N deposition is well above the estimated critical load for herbaceous plant species richness in the tallgrass prairie of the Great Plains ecoregion and thus may negatively affect thes… more
Date: May 6, 2021
Creator: Ponette-González, Alexandra G.; Green, Michelle L.; McCullars, Justin & Gough, Laura
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Partner: UNT College of Liberal Arts & Social Sciences
open access

Urban Expansion Monitoring Based on the Digital Surface Model—A Case Study of the Beijing–Tianjin–Hebei Plain

Description: This article presents a study of urban expansion in the Beijing–Tianjin–Hebei plain based on ALOS Global Digital Surface Model “ALOS World 3D-30 m” (AW3D30 DSM), Shuttle Radar Topography Mission (SRTM) DSM, and Landsat 7 ETM+ images. The method proposed in this paper can provide rapid and large-scale statistics to study urban construction expansion in the world.
Date: May 24, 2022
Creator: Wang, Yanping; Dong, Pinliang; Liao, Shunbao; Zhu, Yueqin; Zhang, Da & Yin, Na
Item Type: Refine your search to only Article
Partner: UNT College of Liberal Arts & Social Sciences
open access

The Change Characteristics and Interactions of Soil Moisture and Temperature in the Farmland in Wuchuan County, Inner Mongolia, China

Description: Article studying the change characteristics of soil moisture and temperature under different water level treatments in Wuchuan County, Inner Mongolia, China.
Date: May 14, 2020
Creator: Pan, Feifei; Zhang, Ziyuan; Pan, Zhihua; Zhang, Jun; Han, Guolin; Huang, Na et al.
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Partner: UNT College of Liberal Arts & Social Sciences
open access

Combined influence of soil moisture and atmospheric humidity on land surface temperature under different climatic background

Description: Article describes how soil moisture (SM) and atmospheric humidity (AH) are crucial climatic variables that significantly affect the climate system. However, the combined influencing mechanisms of SM and AH on the land surface temperature (LST) under global warming are still unclear. The authors systematically analyzed the interrelationships among annual mean values of SM, AH, and LST using ERA5-Land reanalysis data and revealed the role of SM and AH on the spatiotemporal variations of LST throu… more
Date: May 9, 2023
Creator: Jiang, Kang; Pan, Zhihua; Pan, Feifei; Teuling, Adriaan J.; Han, Guolin; An, Pingli et al.
Item Type: Refine your search to only Article
Partner: UNT College of Science
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